Component-based LDA method for face recognition with one training sample

IEEE International Workshop on Analysis and Modeling of Faces and Gestures, AMFG 2003

Volumn , Issue , 2003, Pages 120-126

  Huang, Jian ^a   Yuen, Pong C ^a   Chen, Wen Sheng ^a,b   Lai, J H ^c  

^a HONG KONG BAPTIST UNIVERSITY   (Hong Kong)

^b SHENZHEN UNIVERSITY   (China)

^c SUN YAT SEN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

DISCRIMINANT ANALYSIS; FACE RECOGNITION;

COMPONENT BASED; DISCRIMINANT ANALYSIS METHODS; FACE RECOGNITION ALGORITHMS; LINEAR DISCRIMINANT ANALYZE; LOCAL FACIAL FEATURE; LOCAL FEATURE; LOCAL FEATURE REGIONS; PERFORMANCE; REAL-LIFE APPLICATIONS; TRAINING SAMPLE;

SAMPLING;

EID: 20444497271     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. W. Zhao, R. Chellappa, A. Rosenfeld, and J. Phillips, “Face Recognition: A Literature Survey”, Technical Report, CFAR-TR00-948, Univ. of Maryland, 2000. (Revised 2002)
2. M Turk and A Pentland, “Eigenfaces for recognition”, Journal of Cognitive Neuroscience, Vol. 3, No.1, pp. 71-86, 1991.
3. P. N. Belhumeur, J.P. Hespanha, D.J. Kriegman, “Eigenfaces vs. Fisherfaces: recognition using class specific linear projection”, IEEE Trans. Pattern Anal. Mach. Intell., Vol. 19, No. 7, pp. 711-720, 1997
4. A M Martinez and A. C. Kak, “PCA versus LDA”, IEEE Trans. Pattern Anal. Mach. Intell., Vol. 23, 2001, pp. 228-233, 2001.
5. H. Yu and J. Yang, “A direct LDA algorithm for high-dimensional data - with application to face recognition”, Pattern Recognition, Vol. 34, pp. 2067-2070, 2001.
6. P C Yuen, W S Chen and J Huang, “A novel subspace LDA algorithm for face recognition with small number of training images”, Submitted to IEEE Transactions on Circuits and Systems for Video Technology, Special issue on Image- and Video-based Biometrics, 2002.
7. R Huang, Q Liu, H Lu and S Ma, “Solving small sample size problem in LDA”, Proceeding of International Conference in Pattern Recognition (ICPR 2002), Vol. 3, Aug 2002.
8. A M Martinez,”Recognizing imprecisely localized partially occluded and expression variant faces from a single sample per class”, IEEE Trans. Pattern Anal. Mach. Intell., Vol. 24, N0. 6, pp. 748-763, 2002.
9. Jianxin Wu and Zhi-Hua Zhou, “Face Recognition with One Training Image per Person”, Pattern Recognition Letters, vol.23, no.14, pp.1711-1719, 2002.
10. L Wiskott, J Fellous, and C von der Malsburg, "Face Recognition by Elastic Bunch Graph Matching", IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 19, pp. 775-779, 1997.
11. J Huang, P C Yuen and J H Lai, Combining local and global features for face recognition, Proceedings of ACCV 2002. No. 23-25, 2002.
12. J Kittler, M Hataf, R Duin, and J Matas. On combining classifiers. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 20, No. 3, pp.226- 239, 1998.